def process_frame(self):
self.countdown -= 1
if False and (self.countdown <= 0):
quick_followup = (random.random() < 0.1)
if quick_followup:
self.countdown = 7
else:
self.countdown = int(27* (random.random() * 15))
what_to_do = random.random()
if what_to_do < 0.2:
self.c.send_split()
else:
self.c.send_shoot()
self.log_pos(self.c.player.center)
self.log_mass(self.c.player.total_mass)
cells = self.c.world.cells.values()
own_cells = list(self.c.player.own_cells)
own_total_size = sum( map(lambda cell : cell.size, own_cells) )
own_total_mass = sum( map(lambda cell : cell.mass, own_cells) )
n_own_cells = len(own_cells)
n = 3
for cell in filter(lambda cell : not cell.is_food and not cell.is_virus and not cell.is_ejected_mass, cells):
if hasattr(cell,'poslog') and len(cell.poslog) > n+1:
cellspeed = 0
for i in range(1,n+1):
cellspeed += (cell.poslog[-i] - cell.poslog[-i-1]).len() / n
cellspeed = int(cellspeed*10)/10
self.data.size_vs_speed[cell.size][cellspeed] += 1
visible_width = max( map(lambda cell : cell.pos.x - cell.size, cells) ) - min( map(lambda cell : cell.pos.x + cell.size, cells) )
visible_height = max( map(lambda cell : cell.pos.y - cell.size, cells) ) - min( map(lambda cell : cell.pos.y + cell.size, cells) )
self.data.size_vs_visible_window[n_own_cells][own_total_size].append((visible_width,visible_height))
self.data.mass_vs_visible_window[n_own_cells][own_total_mass].append((visible_width,visible_height))
# log virus sizes
for cell in cells:
if cell.is_virus:
self.data.observed_virus_sizes[cell.size] += 1
# detect re-merging cells
for cell in own_cells:
for cell2 in own_cells:
if cell2 != cell:
dist = (cell.pos - cell2.pos).len()
expected_dist = cell.size + cell2.size
min_dist = max(cell.size, cell2.size)
if (dist < (0.9 * expected_dist + 0.1 * min_dist)):
is_parent_child = (cell == cell2.parent or cell2 == cell.parent)
print("cells seem to be merging! they are "+ ("" if is_parent_child else "NOT ") + "parent and child")
pair_id = (min(cell.cid,cell2.cid), max(cell.cid,cell2.cid))
if pair_id not in self.data.remerging:
self.data.remerging[pair_id] = ReMerging(cell.size, cell2.size, cell.spawntime, cell2.spawntime, is_parent_child, self.c.world.time)
else:
self.data.remerging[pair_id].end_time = self.c.world.time
# find ejected mass, split cells or viruses that have come to rest
for cell in cells:
if hasattr(cell,"parent") and cell.parent != None and not cell.calmed_down:
# we're only interested in cells with a parent set, because
# this also implies that we have tracked them since their
# creation.
# also, we're only interested in cells that are still flying
# as a result of being ejected/split.
if not cell.is_food and not cell.is_ejected_mass and not cell.is_virus:
expected_speed = mechanics.speed(cell.size)
celltype = "split cell"
elif cell.is_virus:
expected_speed = 1
celltype = "virus"
elif cell.is_ejected_mass:
expected_speed = 1
celltype = "ejected mass"
if cell.movement.len() < expected_speed * 1.1:
print(celltype+" has come to rest, nframes="+str(len(cell.poslog)))
cell.calmed_down = True
# TODO: speed log
# distance is calculated naively
distance = (cell.spawnpoint - cell.pos).len()
# distance2 is calculated along the cell's path (will differ if the flight was not colinear)
poslog = list(cell.poslog)
speeds = list(map(lambda vecs : (vecs[0]-vecs[1]).len(), zip(poslog, poslog[1:])))
distance2 = sum(speeds)
distance_from_parent = (cell.parentpos_when_spawned - cell.pos).len()
self.data.eject_distlogs[celltype] += [(distance, distance2, distance_from_parent, cell.parentsize_when_spawned, len(cell.poslog), speeds)]
print(" flown distance = %.2f / %.2f"%(distance,distance2))
if len(cell.poslog) == 5:
# calculate movement direction from the first 5 samples
# first check whether they're on a straight line
if geometry.is_colinear(cell.poslog) and cell.shoot_vec != None:
print(celltype+" direction available!")
fly_direction = cell.poslog[-1] - cell.poslog[0]
fly_angle = math.atan2(fly_direction.y, fly_direction.x)
shoot_angle = math.atan2(cell.shoot_vec.y, cell.shoot_vec.x)
deviation = (fly_angle - shoot_angle) % (2*math.pi)
if deviation > math.pi: deviation -= 2*math.pi
print(" deviation = "+str(deviation*180/math.pi))
self.data.eject_deviations[celltype] += [deviation]
if (celltype == 'virus'):
# FIXME so ugly
try:
shoot_angle = math.atan2(cell.shoot_vec2.y, cell.shoot_vec2.x)
deviation = (fly_angle - shoot_angle) % (2*math.pi)
if deviation > math.pi: deviation -= 2*math.pi
print(" deviation2= "+str(deviation*180/math.pi))
self.data.eject_deviations['virus2'] += [deviation]
except AttributeError:
print("virus2 not available, wtf?!")
try:
shoot_angle = math.atan2(cell.shoot_vec3.y, cell.shoot_vec3.x)
deviation = (fly_angle - shoot_angle) % (2*math.pi)
if deviation > math.pi: deviation -= 2*math.pi
print(" deviation3= "+str(deviation*180/math.pi))
self.data.eject_deviations['virus3'] += [deviation]
except AttributeError:
print("virus3 not available")
else:
print(celltype+" did NOT fly in a straight line, ignoring...")
def quality(self, cell, cells, myspeed):
dd_sq = max((cell.pos[0] - self.c.player.center[0]) ** 2 + (cell.pos[1] - self.c.player.center[1]) ** 2, 0.001)
sigma = 500 * max(cell.mass, 1) # TODO FIXME don't try to eat running away cells
if mechanics.speed(cell) - myspeed >= 0:
sigma = sigma / 3 / math.exp((mechanics.speed(cell) - myspeed) / 10)
dist_score = -math.exp(-dd_sq / (2 * sigma ** 2))
rivals = filter(lambda r: self.rival(r, cell), cells)
hugecells = filter(self.hugecell, cells)
splitkillers = filter(self.splitkiller, cells)
nonsplitkillers = filter(self.nonsplitkiller, cells)
rival_score = 0
for r in rivals:
dd_sq = max(0.001, (r.pos[0] - cell.pos[0]) ** 2 + (r.pos[1] - cell.pos[1]) ** 2)
sigma = r.size + 100
rival_score += math.exp(-dd_sq / (2 * sigma ** 2))
hugecell_score = 0
for s in hugecells:
dd_sq = max(0.001, (s.pos[0] - cell.pos[0]) ** 2 + (s.pos[1] - cell.pos[1]) ** 2)
sigma = s.size + 10
hugecell_score += math.exp(-dd_sq / (2 * sigma ** 2))
splitkill_score = 0
for s in splitkillers:
dd_sq = max(0.001, (s.pos[0] - cell.pos[0]) ** 2 + (s.pos[1] - cell.pos[1]) ** 2)
sigma = s.size + 650 + 250
splitkill_score += math.exp(-dd_sq / (2 * sigma ** 2))
nonsplitkill_score = 0
for s in nonsplitkillers:
dd_sq = max(0.001, (s.pos[0] - cell.pos[0]) ** 2 + (s.pos[1] - cell.pos[1]) ** 2)
sigma = (75 + s.size) + 250
nonsplitkill_score += math.exp(-dd_sq / (2 * sigma ** 2))
density_score = 0
sigma = 300
# for f in filter(lambda c : c.is_food and c!=cell, self.c.world.cells.values()):
# dd_sq = (f.pos[0]-cell.pos[0])**2 + (f.pos[1]-cell.pos[1])**2
# density_score -= math.exp(-dd_sq/(2*sigma**2))
wall_score = 0
wall_dist = min(
cell.pos[0] - self.c.world.top_left[1],
self.c.world.bottom_right[1] - cell.pos[0],
cell.pos[1] - self.c.world.top_left[0],
self.c.world.bottom_right[0] - cell.pos[1],
)
sigma = 100
wall_score = math.exp(-wall_dist ** 2 / (2 * sigma ** 2))
return (
0.5 * dist_score
+ 0.2 * rival_score
+ 5.0 * hugecell_score
+ 5.0 * nonsplitkill_score
+ 15 * splitkill_score
+ 0.1 * density_score
+ 5 * wall_score
)
def process_frame(self):
runaway = False
my_smallest = min(self.c.player.own_cells, key=lambda cell: cell.mass)
my_largest = max(self.c.player.own_cells, key=lambda cell: cell.mass)
cells = filter(lambda r: not r.is_food and not r.is_virus, self.c.world.cells.values())
friendly_cells = list(filter(lambda c: c.is_virus or c.name in friendly_players, self.c.world.cells.values()))
if friendly_cells:
dist_to_friend = min(
map(lambda c: (self.c.player.center - c.pos).len() - max(my_largest.size, c.size), friendly_cells)
)
else:
dist_to_friend = float("inf")
if dist_to_friend < 20 or my_largest.mass < 36:
if self.do_approach_friends:
print("not approaching friends")
self.do_approach_friends = False
elif dist_to_friend > 200 and my_largest.mass > 36 + 10 * 16:
if not self.do_approach_friends:
print("approaching friends")
self.do_approach_friends = True
if friendly_cells and self.do_approach_friends:
friend_to_feed = max(friendly_cells, key=lambda c: c.mass)
if friend_to_feed.mass < 1.25 * my_largest.mass:
print("friend too small")
friend_to_feed = None
if friend_to_feed:
self.gui.hilight_cell(friend_to_feed, (255, 255, 255), (255, 127, 127), 30)
self.target_cell = friend_to_feed
self.target_type = "friend"
if self.do_approach_friends:
for c in self.c.player.own_cells:
self.gui.hilight_cell(c, (255, 255, 255), (255, 127, 127), 20)
# can this cell feed that cell?
# "False" means "No, definitely not"
# "True" means "Maybe"
def can_feed(this, that):
if that.is_food or that.is_ejected_mass or that.size < 43: # too small cells cannot eat the ejected mass
return False
relpos = this.pos - that.pos
dist = relpos.len()
if dist == 0 or dist >= 700 + this.size + that.size:
return False
return check_cell_in_interval(
this.pos, that, (this.movement_angle - 10 * math.pi / 180, this.movement_angle + 10 * math.pi / 180)
)
success_rate = 0
for my_cell in self.c.player.own_cells:
try:
my_cell.movement_angle
except AttributeError:
print("cannot calculate shoot angle, too few backlog")
continue
# check if ejecting mass would feed a friend
possibly_feedable_cells = list(filter(lambda c: can_feed(my_cell, c), self.c.world.cells.values()))
possibly_feedable_cells.sort(key=lambda c: (my_cell.pos - c.pos).len())
good_intervals = []
for feedable in possibly_feedable_cells:
self.gui.hilight_cell(feedable, (255, 192, 127), (127, 127, 255))
if feedable not in friendly_cells:
break
good_intervals += canonicalize_angle_interval(interval_occupied_by_cell(my_cell.pos, feedable))
good_intervals = merge_intervals(good_intervals)
area = interval_area(
intersection(
good_intervals,
canonicalize_angle_interval(
(
my_cell.movement_angle - mechanics.eject_delta * math.pi / 180,
my_cell.movement_angle + mechanics.eject_delta * math.pi / 180,
)
),
)
)
success_rate += area / (2 * mechanics.eject_delta * math.pi / 180) / len(list(self.c.player.own_cells))
self.gui.draw_bar(((100, 40), (500, 24)), success_rate, thresh=0.80, color=(0, 0, 127))
if success_rate >= 0.80:
self.c.send_shoot()
# enemy/virus/friend-we-would-kill avoidance
forbidden_intervals = []
for cell in self.c.world.cells.values():
relpos = ((cell.pos[0] - self.c.player.center[0]), (cell.pos[1] - self.c.player.center[1]))
dist = math.sqrt(relpos[0] ** 2 + relpos[1] ** 2)
# find out the allowed minimum distance
allowed_dist = None
if cell.is_virus:
if cell.mass < my_largest.mass:
allowed_dist = cell.size + 2
else:
allowed_dist = "don't care"
elif cell in friendly_cells:
if 1.25 * my_largest.mass > cell.mass: # we're dangerous to our friends
allowed_dist = my_largest.size + 40
elif (
cell not in self.c.player.own_cells
and not cell.is_virus
and not cell.is_ejected_mass
and not cell.is_food
) and cell.mass + 20 > 1.25 * my_smallest.mass: # our enemy is, or will be dangerous to us
if (cell.mass + 20) / 2 < 1.25 * my_smallest.mass:
# they can't splitkill us (soon)
allowed_dist = cell.size + 75
elif cell.mass / 15.0 < self.c.player.total_mass:
# they can and they will splitkill us
allowed_dist = 650 + cell.size
else:
# we're too small, not worth a splitkill. they have absolutely no
# chance to chase us
allowed_dist = cell.size + 10
else:
allowed_dist = "don't care"
if allowed_dist != "don't care" and dist < allowed_dist:
try:
angle = math.atan2(relpos[1], relpos[0])
corridor_halfwidth = math.asin(min(1, cell.size / dist))
forbidden_intervals += canonicalize_angle_interval(
(angle - corridor_halfwidth, angle + corridor_halfwidth)
)
runaway = True
except:
print("TODO FIXME: need to handle enemy cell which is in our centerpoint!")
print("dist=%.2f, allowed_dist=%.2f" % (dist, allowed_dist))
# wall avoidance
if self.c.player.center[0] < self.c.world.top_left[1] + (self.c.player.total_size * 2):
forbidden_intervals += [(0.5 * pi, 1.5 * pi)]
if self.c.player.center[0] > self.c.world.bottom_right[1] - (self.c.player.total_size * 2):
forbidden_intervals += [(0, 0.5 * pi), (1.5 * pi, 2 * pi)]
if self.c.player.center[1] < self.c.world.top_left[0] + (self.c.player.total_size * 2):
forbidden_intervals += [(pi, 2 * pi)]
if self.c.player.center[1] > self.c.world.bottom_right[0] - (self.c.player.total_size * 2):
forbidden_intervals += [(0, pi)]
# if there's actually an enemy to avoid:
if runaway:
# find the largest non-forbidden interval, and run into this direction.
forbidden_intervals = merge_intervals(forbidden_intervals)
allowed_intervals = invert_angle_intervals(forbidden_intervals)
try:
(a, b) = find_largest_angle_interval(allowed_intervals)
except:
print("TODO FIXME: need to handle no runaway direction being available!")
(a, b) = (0, 0)
runaway_angle = (a + b) / 2
runaway_x, runaway_y = (
(self.c.player.center[0] + int(100 * math.cos(runaway_angle))),
(self.c.player.center[1] + int(100 * math.sin(runaway_angle))),
)
self.target = (runaway_x, runaway_y)
self.target_type = None
self.target_cell = None
self.color = (255, 0, 0)
# a bit of debugging information
for i in forbidden_intervals:
self.gui.draw_arc(self.c.player.center, self.c.player.total_size + 10, i, (255, 0, 255))
# if however there's no enemy to avoid, try to feed a friend. or chase food or fly randomly around
else:
if self.target_cell != None:
self.target = tuple(self.target_cell.pos)
# check if target went out of sight, or became infeasible
if self.target_cell not in self.c.world.cells.values() or (
not self.edible(self.target_cell) and not self.target_cell in friendly_cells
):
self.target_cell = None
self.target_type = None
elif self.target == tuple(self.c.player.center):
self.target_type = None
print("Reached random destination")
if not self.target_type == "friend": # i.e. None, random or food
food = list(filter(self.edible, self.c.world.cells.values()))
myspeed = mechanics.speed(my_largest)
food = sorted(food, key=lambda c: self.quality(c, cells, myspeed))
if len(food) > 0:
food_candidate = food[0]
if (
self.target_type == None
or self.target_type == "random"
or (
self.target_type == "food"
and self.quality(food_candidate, cells, myspeed)
< self.quality(self.target_cell, cells, myspeed) - 1
)
):
if self.target_type == "food":
print(
"abandoning food of value %.3f for %.3f"
% (
self.quality(self.target_cell, cells, myspeed),
self.quality(food_candidate, cells, myspeed),
)
)
self.target_cell = food_candidate
self.target = (self.target_cell.pos[0], self.target_cell.pos[1])
self.target_type = "food"
self.color = (0, 0, 255)
if self.target == None:
rx = self.c.player.center[0] + random.randrange(-400, 401)
ry = self.c.player.center[1] + random.randrange(-400, 401)
self.target = (rx, ry)
self.target_type = "random"
self.color = (0, 255, 0)
print("Nothing to do, heading to random targetination: " + str((rx, ry)))
# more debugging
self.gui.draw_line(self.c.player.center, self.target, self.color)
return self.target
def on_world_update_post(self):
self.newFrame = True
self.c.world.time = self.time
self.time += 1
if self.time % 100 == 0:
self.cleanup_victims()
# create and purge poslog history, movement and movement_angle
for cid in self.history:
self.history[cid].stale = True
for cid in self.c.world.cells:
if cid not in self.history:
self.history[cid] = CellHistory()
self.history[cid].poslog.append(self.c.world.cells[cid].pos.copy())
self.c.world.cells[cid].poslog = self.history[cid].poslog
self.history[cid].stale = False
self.history = {k: v for k, v in self.history.items() if v.stale == False}
for cid in self.c.world.cells:
cell = self.c.world.cells[cid]
if not hasattr(cell, "spawntime"):
cell.spawntime = self.c.world.time
try:
oldpos = cell.poslog[-3-1]
cell.movement = (cell.pos - oldpos)/3
cell.movement_angle = cell.movement.angle()
except (AttributeError, IndexError):
pass
# create OtherPlayer entries
otherplayers = {}
for cell in self.c.world.cells.values():
playerid = None
if not cell.is_food and not cell.is_ejected_mass and not cell.is_virus:
playerid = (cell.name, cell.color)
elif cell.is_virus:
playerid = "virus"
elif cell.is_food:
playerid = "food"
elif cell.is_ejected_mass:
playerid = "ejected mass"
else:
playerid = "???"
if playerid not in otherplayers:
otherplayers[playerid] = OtherPlayer(playerid)
cell.player = otherplayers[playerid]
cell.player.cells.add(cell)
# detect split cells and clean up obsolete parent references
for cell in self.c.world.cells.values():
# create attribute if not already there
try:
cell.parent = cell.parent
except:
cell.parent = None
cell.calmed_down = True
# clean up obsolete parent references
if cell.parent and cell.parent.cid not in self.c.world.cells:
cell.parent = None
# find split cells
is_split = False
if not cell.is_food and not cell.is_ejected_mass and not cell.is_virus:
try:
if cell.parent == None and cell.movement.len() > 2 * mechanics.speed(cell.size):
print("looks like a split!"+str(cell.movement.len() / mechanics.speed(cell.size)))
is_split = True
except AttributeError:
pass
if is_split:
history_len = len(cell.poslog)
cell.parent = min(cell.player.cells, key=lambda c : (c.poslog[-history_len] - cell.poslog[-history_len]).len() if c != cell and len(c.poslog) >= history_len else float('inf'))
try:
cell.shoot_vec = cell.parent.movement.copy()
except:
cell.shoot_vec = None
cell.calmed_down = False
elif cell.is_virus:
try:
if cell.parent == None and cell.movement.len() > 0:
print("split virus!")
is_split = True
except AttributeError:
pass
if is_split:
cell.parent = min(cell.player.cells, key=lambda c : (c.pos - cell.poslog[0]).len() if c != cell else float('inf'))
try:
last_feed = self.victims[cell.parent.cid][-1][0]
if not last_feed.is_ejected_mass:
print("wtf, last virus feed was not ejected mass?!")
raise KeyError
else:
cell.shoot_vec = cell.parent.pos - last_feed.poslog[0]
cell.shoot_vec2 = last_feed.poslog[-1] - last_feed.poslog[0]
try:
pos_when_shot = last_feed.parent.poslog[-len(last_feed.poslog)]
cell.shoot_vec3 = cell.parent.pos - pos_when_shot
except:
print("MOAAAHH")
cell.shoot_vec3 = None
except KeyError:
print("wtf, no last virus feed?!")
cell.shoot_vec = None
cell.shoot_vec2 = None
cell.shoot_vec3 = None
cell.calmed_down = False
elif cell.is_ejected_mass:
try:
if cell.parent == None and cell.movement.len() > 0:
print("ejected mass!")
is_split = True
except AttributeError:
pass
if is_split:
history_len = len(cell.poslog)
try:
cell.parent = min(filter(lambda c : not c.is_ejected_mass and not c.is_food and not c.is_virus and c.color == cell.color, self.c.world.cells.values()), key=lambda c : (c.poslog[-history_len] - cell.poslog[-history_len]).len() if len(c.poslog) >= history_len else float('inf'))
try:
cell.shoot_vec = cell.parent.movement.copy()
except:
cell.shoot_vec = None
cell.calmed_down = False
except ValueError:
# if no possible parents are found, min will raise a ValueError. ignore that.
pass
if is_split:
cell.spawnpoint = cell.pos.copy()
cell.parentsize_when_spawned = cell.parent.size if cell.parent != None else None
cell.parentpos_when_spawned = cell.parent.pos.copy() if cell.parent != None else None